ID 原文 译文
55687 该CW-SAR成像方法不仅适用于宽带和窄带CW发射波形,而且也适用于单/双基SAR和任意载机飞行轨迹。 The the CW - SAR imaging method is not only suitable for broadband and narrowband the CW emission waveforms, and it also is suitable for single/double based SAR and any carrier aircraft flight path.
55688 以双基情形为例,分析成像方法的性能,并进行仿真验证。 Double gay love situations, for example, analysis the performance of the imaging method, and the simulation test and verify.
55689 提出了一种多尺度贝叶斯网络模型和相应推断算法,并将其应用于合成孔径雷达(synthetic aperture radar,SAR)图像分割。 This paper proposes a multi-scale bayesian network model and corresponding inference algorithm, and applied to synthetic aperture radar (synthetic aperture radar, SAR) image segmentation.
55690 首先根据SAR图像的多尺度序列构建多尺度贝叶斯网络模型;然后设计了模型估计的置信传播(belief propagation,BP)算法,该算法包括同尺度结点之间的信息传播、细尺度到粗尺度的信息传播和粗尺度到细尺度的信息传播;最后计算出细尺度隐含结点的最大后验概率(maximum a posteriori probability,MAP),实现SAR图像的分割。 First of all, according to SAR image multiscale sequences to construct multi-scale bayesian network model;And then design a model to estimate the belief propagation (are propagation, BP) algorithm, this algorithm including information dissemination, fine scales between nodes with scale to the coarse scale information dissemination of information dissemination to the fine and coarse scale dimension;Finally calculate the fine scale hidden nodes maximum a posteriori probability (maximum a posteriori aim-listed probability, MAP), the realization of SAR image segmentation.
55691 实验结果表明,与单尺度贝叶斯网络模型方法和基于条件迭代模式的Markov随机场模型方法相比,基于多尺度贝叶斯网络的SAR图像分割方法具有较好的分割效果。 The experimental results show that the bayesian network model with single scale method and the method based on condition of iteration model of Markov random field (MRF), compared to the SAR image segmentation based on multi-scale bayesian networks method has better segmentation effect.
55692 针对传统灰色预测模型解决灰数序列预测的局限性,为了提高预测精度,以考虑合成灰数灰度的区间灰数预测模型为基础,构建了基于合成灰数灰度的区间灰数自忆性耦合预测模型,结合动力系统自忆性原理克服了传统灰色预测模型对初值比较敏感的弱点。 Aiming at the limitation of the grey prediction model to predict grey numeral sequences to solve, in order to improve the prediction precision, to consider the synthesis of grey number interval grey number of gray prediction model as the foundation, constructed based on synthesis of grey number grey interval grey Numbers self-memorial coupling prediction model, combined with the power system self-memorial sex principle overcomes the weakness of traditional grey forecasting model is more sensitive to initial value.
55693 算例仿真以具饱和发展状态特征的区间灰数序列为对象,获得了满意的模拟预测精度,验证了所构建模型的有效性及优越性。 Numerical example with simulation to characteristics of the saturated state of development, the interval grey number sequence as the object, obtained the satisfactory simulation accuracy, the effectiveness of the proposed model is verified and superiority.
55694 研究结果表明,本文提出的新模型丰富和完善了区间灰数预测模型体系,并拓展了其应用范围。 The research results show that the proposed new model enriched and perfected the interval grey number prediction model system, and expand its application scope.
55695 针对非同构分布式阵列无法使用旋转不变子空间算法(estimation of signal parameters via rotation invariant technique algorithm,ESPRIT),同时为了提高非同构分布式阵列的角度估计精度,提出基于求根降秩算法(root rank reduction estimator,root-RARE)的目标波达方向估计方法。 For non homogeneous distributed array can't use rotation invariant subspace algorithm (estimation of signal parameters via rotation invariant technique algorithm, ESPRIT), at the same time in order to improve the Angle estimation precision of non homogeneous distributed array, is put forward based on o root rank reduction algorithm (root rank reduction estimator, root - RARE) target doa estimation.
55696 由于分布式阵列的基线长度远大于半波长,合成方向图出现栅瓣,导致测角模糊。 Due to the distributed array of baseline length is greater than the half wavelength, synthetic grating lobe pattern appeared, cause angular fuzzy.